
10,000+ employees
đš Hospitality
đŁ Marketing
âïž Travel
Hospitality âą Marketing âą Travel
AB InBev is a global brewing company known for its extensive portfolio of over 500 beer brands, including iconic global and local names. Committed to sustainability and responsible drinking, the company has a heritage spanning more than 600 years. AB InBev continually seeks innovation in brewing and serves to celebrate beer as a beverage of moderation.
đ August 7
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10,000+ employees
đš Hospitality
đŁ Marketing
âïž Travel
Hospitality âą Marketing âą Travel
AB InBev is a global brewing company known for its extensive portfolio of over 500 beer brands, including iconic global and local names. Committed to sustainability and responsible drinking, the company has a heritage spanning more than 600 years. AB InBev continually seeks innovation in brewing and serves to celebrate beer as a beverage of moderation.
âą Partner with Product, Commercial, and Business stakeholders to solve complex business challenges through data and turn ambiguous questions into structured analytical approaches and actionable recommendations âą Design, define, and maintain business KPIs, ensuring metric consistency, data quality, and alignment across teams and regions âą Analyze large datasets using SQL and Python to identify trends, diagnose business issues, evaluate opportunities, and support strategic decision-making âą Design and maintain scalable analytical solutions, including semantic models, Power BI dashboards, and self-service reporting âą Lead deep-dive investigations, root cause analyses, and impact assessments for product launches, commercial initiatives, and operational performance âą Design and evaluate experiments, measure business impact, and provide data-driven recommendations based on statistical evidence âą Leverage AI tools such as LLMs, code assistants, and AI-powered analytics solutions to accelerate data exploration, automate repetitive analyses, improve documentation, and enhance productivity while ensuring analytical accuracy âą Transform analytical findings into compelling stories that communicate business impact and influence technical and executive audiences âą Partner with Data Engineering to improve data quality, validate data pipelines, and ensure reliable reporting foundations âą Mentor analysts through technical guidance, analytical problem solving, code reviews, and stakeholder communication âą Collaborate with global teams to drive alignment, standardization, and knowledge sharing across regions
âą Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or another quantitative discipline âą Expert SQL skills, including complex joins, CTEs, window functions, query optimization, and large-scale analytical transformations âą Advanced Power BI knowledge, including semantic modeling, DAX, visualization design, and performance optimization âą Strong Python skills for data analysis, statistical modeling, and automation âą Experience working with large analytical datasets and translating business questions into scalable analytical solutions âą Solid understanding of statistics, experimentation, and hypothesis-driven analysis âą Experience applying AI tools to improve analytical workflows, coding productivity, documentation, or insight generation âą Strong understanding of data visualization best practices and user-centered dashboard design âą Excellent storytelling skills for translating complex analyses into clear business recommendations âą Advanced English communication skills
âą Performance based bonus* âą Attendance Bonus* âą Private pension plan âą Meal Allowance âą Casual office and dress code âą Days off* âą Health, dental, and life insurance âą Medicines discounts âą WellHub partnership âą Childcare subsidies âą Discounts on Ambev products* âą Clube Ben partnership âą Scholarship* âą School materials assurance âą Language and training platforms âą Transport allowance âą Rules applied to marked benefits
Apply Nowđ August 7
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đ Data Analyst
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